{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "33b6cb23",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import os\n",
    "from core.data_processor import DataLoader\n",
    "from core.model import Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "16e2624e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 这两行代码解决 plt 中文显示的问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cd9d01f",
   "metadata": {},
   "source": [
    "# 显示结果图表函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "96bb1265",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_results(predicted_data, true_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.plot(true_data, label='正确值')\n",
    "    plt.plot(predicted_data, label='预测值')\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "def plot_results_multiple(predicted_data, true_data, prediction_len):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.plot(true_data, label='正确值')\n",
    "    # 填充预测列表，将其在图表中移动到正确的开始位置\n",
    "    for i, data in enumerate(predicted_data):\n",
    "        padding = [None for _ in range(i * prediction_len)]\n",
    "        plt.plot(padding + data, label='预测值')\n",
    "        plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5650676",
   "metadata": {},
   "source": [
    "# 加载实验一的配置文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "37eb2700",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "configs = json.load(open('test_1/config.json', 'r'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10eac442",
   "metadata": {},
   "source": [
    "# 数据加载器\n",
    "### 创建一个 DataLoader的类 class 来加载数据，为数据加载层提供概括信息\n",
    "* 传入文件名\n",
    "* 确定用于训练与测试的数据百分比的分割变量\n",
    "* 选择一列或多列数据来进行单维或多维分析的列变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fbbfbc69",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = DataLoader(\n",
    "    filename=os.path.join('data', configs['data']['filename']),\n",
    "    split=configs['data']['train_test_split'],\n",
    "    cols=configs['data']['columns']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab8f170e",
   "metadata": {},
   "source": [
    "## 1.划分训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b214ff1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y = data.get_train_data(\n",
    "    seq_len=configs['data']['sequence_length'],\n",
    "    normalise=configs['data']['normalise']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ec373c0",
   "metadata": {},
   "source": [
    "## 2.划分测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3467aba5",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_test, y_test = data.get_test_data(\n",
    "    seq_len=configs['data']['sequence_length'],\n",
    "    normalise=configs['data']['normalise']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70fa9a26",
   "metadata": {},
   "source": [
    "## 3.模型构建\n",
    "代码框架使用Model类和config.json文件来轻松构建模型的实例\n",
    "构建网络的主函数是build_model（）函数，它接收解析的配置文件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c5190211",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Model] Model Compiled\n",
      "Time taken: 0:00:00.829738\n"
     ]
    }
   ],
   "source": [
    "model = Model()\n",
    "model.build_model(configs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d172c96",
   "metadata": {},
   "source": [
    "# 模型训练\n",
    "我们创建了一个单独的运行模块，它将Model和DataLoader 抽象出来的信息组合起来并用于训练、输出和可视化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "955b6240",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Model] Training Started\n",
      "[Model] 2 epochs, 32 batch size\n",
      "Epoch 1/2\n",
      "132/132 [==============================] - ETA: 0s - loss: 0.0184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss\n",
      "WARNING:tensorflow:Can save best model only with val_loss available, skipping.\n",
      "132/132 [==============================] - 17s 94ms/step - loss: 0.0184\n",
      "Epoch 2/2\n",
      "132/132 [==============================] - ETA: 0s - loss: 0.0010- ETA: 1s - WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss\n",
      "WARNING:tensorflow:Can save best model only with val_loss available, skipping.\n",
      "132/132 [==============================] - 12s 92ms/step - loss: 0.0010\n",
      "[Model] Training Completed. Model saved as saved_models\\28112021-173034-e2.h5\n",
      "Time taken: 0:00:29.558938\n"
     ]
    }
   ],
   "source": [
    "model.train(\n",
    "    x,\n",
    "    y,\n",
    "    epochs=configs['training']['epochs'],\n",
    "    batch_size=configs['training']['batch_size'],\n",
    "    save_dir=configs['model']['save_dir']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef663ad5",
   "metadata": {},
   "source": [
    "# 预测数据\n",
    "\n",
    "* 第一种将以逐点方式进行预测，即我们每次仅预测单个点，将此点绘制为预测，然后沿着下一个窗口进行预测,并再次使用完整的测试数据预测下一个点。\n",
    "* 对完整的序列进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "35b2867a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Model] Predicting Point-by-Point...\n",
      "[Model] Predicting Sequences Full...\n"
     ]
    }
   ],
   "source": [
    "predictions_bypoint = model.predict_point_by_point(x_test)\n",
    "predictions_byfull = model.predict_sequence_full(x_test, configs['data']['sequence_length'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "70112d03",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAD2CAYAAAA6eVf+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAAsTAAALEwEAmpwYAAB2PklEQVR4nO29eYBc9XXn+7m170vvrdbS7AIhIVstG2TJFliM4yUOHjtKMKM4M7wRwRsvJEMcB+O8xDYkM+9lnh3isRI7eSE4xgsaBxvbEYEGFFnGbYwkW2AEUktIvXfte9W99/1x61ar1VXdtdylBPX9C27dqj46Vb9zz++c7+97BFmWZTrooIMOOnhDwGK2AR100EEHHRiHTtDvoIMOOngDoRP0O+iggw7eQOgE/Q466KCDNxA6Qb+DDjro4A0Em9kGLIeenh6Gh4fNNqODDjro4KLC+Pg4c3NzVV9r66A/PDzM2NiY2WZ00EEHHVxUGBkZqflap7zTQQcddPAGQifod9BBBx28gdAJ+h100EEHbyB0gn4HHXTQwRsInaDfQQcddPAGQifod9BBBx28gdB00J+enmbHjh01Xy8Wi7zvfe9j27ZtfO1rX6t5rYMOOuigA+PQVNCPRqN85CMfIZ1O17znS1/6EiMjIxw6dIjvfe97JJPJqteMgCRKHP7BP/GzZ75nyN9rFWdefYlnv/VFIvOzZpuyIkRR5Mff///4+b//yGxT6sKpE7/g2W9/iVgsYrYpK6JYLHLosa9x5PCTZptSF1598QUOfuevSSTjZpuyIgqFAoe+u49jP33abFMMR1NB32q18sgjjxAIBGreMzo6yu7duwHYtm0bY2NjVa9diH379jEyMsLIyAizs9oEvR8//Kdc/5OPseXJ2/jpv35Dk8/UC9G5KTwPvYsdv/wMk1/+DURRMtukZXH4Hz7FDT/9JG86sJufP/0vZpuzLGYnzxB6+NfY8Yt7Gf+bDyJL7e3b5776+2z72e9z7Q/+I0d//K9mm7MsJk6/TO833s32Y3/Cy3/z27T7mI6xfXey7ef/jau+9wGOP/+s2eYYiqaCfiAQIBgMLntPOp1maGiocv/09HTVaxdi7969jI2NMTY2Rm9vbzPmLUImFWfjyb/jJedGzlkGCR3+i7b+Qb70L/83PcR4oed9bCj9kiNPfctsk2oiHp1j85n/j+OuNzMl9OJ89n6zTVoWr/zLXxKQU7zQ/V42F57n6L8/brZJNTE/c46RyW/wC89biQoh5Kfa27dnvvcXuMhzpOvXGMke4sWfjZptUk1Mn32Vt8w+ylHfdjKCm+yBL5htkqHQrZHr8/nIZrMApFIpJEmqek1vvPTMdwiQpvT2P2Ji/e9yhXSSk79sT2kHWZJY89pj/MK5mWv3fo0YfsQX2ndn8vLT/4xXyGPd9RnOXPZhrikd58wrvzTbrKqQJZHLJr/PMe/1XP1/7COFm+zPvm62WTXxyug/4RSKeN/755xc+yE25n/O1Llxs82qilKxwFWzP+JY4O1c8Z+/TF62Ezv8T2abVROnRh/CJkh0/8e/5OVVt7Ap8xMis1Nmm2UYdAv6W7Zs4eDBgwAcOXKE4eHhqtf0hvSrHxLBz/q3/BqX7rgVgJnnH9P97zaDc6/+gtXyJKlL34vN4eSV8HauTP4ESRTNNq0qrK8cYJpurnzzTtZs+y0Azo21Z4nn1C+fo48I+Sveh9Pt42X/9VwWO9S2JR7XqX/jNWEVw1dvpf/638QiyJw+/F2zzaqKV488Q5gk8tXvx+Pv4iXvFtbOHzTbrJrwn3mSVy2XMHTpBsIjH8IuiLz6k4uj36cFNAn6Tz75JH/913+96NpHPvIRPvvZz3LXXXdx/Phx3vrWt1a9pjcGEkcZ92zCZrfTPbiOs8Igrqmf6v53m8HUL5WmUt/Gm5QL695GUEgz/qvnTbSqBmSZNaljnPFvRrBYGLzkGmbpwn7uObMtq4q5F58BYGjzLgBKa26glygT478y06yqkCWRddlfMhF8M4LFwtr1I8Txwms/Mdu0qoi9pAT4dW++GYDcqhtYLU8xO3nGTLOqolQscEn+JWa6FUGySza+jYzspDT+Y5MtMw4tBf3R0VEAbrrpJj7+8Y8vem3dunUcOHCAt73tbTzxxBNYrdaq1/REbOYcq+VJcgMLinOTwc0MZ461ZYYnn/kJCdnLuqveBMDgxhsBmPnlM2aaVRUzZ0/QS4TS0FblgiBwxreJoeRRcw2rAeu5nzJLmKF1VwLQu2EnAOeOjZpmUy2cfeUYIVKw5i0ACBYr4+6NDMSPmGxZdTgmxzgrDNA7sAaA0HqFyn3mhafMNKsqTr/4HB4hj23d9QDY7A5Ouq6mJ/pzky0zDroezlq1ahW7d+9e1PStdk0vnDmmZM7BK7ZVrslrridMkjMn2i849cSOcsp9deVhuOqSa5gjhO219stCzh5VHkTdV22vXCsOvZVB5pg6c8Iss2piIHGMM55rESzKT37dVVtI4EE+fchky5ZiuvyQ79vw9sq1zOBbWCefJTJzziyzqkOWWZM+xqR/Y+XSJRvfRk62Uzz17yYaVh3zLyq7kqGNC75N9o1waekkyXj703i1wOv6RG5mfAxRFrhk09sq13quugGA2Vfaq8STyyRZJ54h3bO5ck2wWDjrvpru1MvmGVYDxdd+Rk62M7xhoUQXukLJnqZ+1V6+TURnGJKnyPe/qXLNYrNxxnkl4cRLJlpWHdK550nIHtZdsalyzX+pkvWfe6m9SAhzk+P0EKM0uKVyzeF0MW6/HH/sRRMtqw7L5M+ZI8Tgmssr19zDW7EKMmd/9TMTLTMOr+ug74ye4JxlEI/XX7k2dPlGSrKF0mR7sUwmXj2GRZBxrLp20fVs6AqGxLMUC3mTLKsOd/wVztrW4HA4KteGrtgMQO7cL0yyqjomX1HKIu7Vi32bClzB6uJpZKm9GuW+xKucs6/Dcl75c+AK5YGVPtteO9TpVxXf+tZsXHQ94b+MVYVxEyxaHsHUSSYdl1R2fAB9lym+TZ5pL9/qhdd10O/KnGLOfcmia06Xh3PWVbii7ZU9R08fA6BrePHisQ1cg0MQmTjZXg+p3twpop7FvvUHu5iiB3ukvZqjyTPKQ6j30usWXRf6rsYj5Jl+7RUzzKqJgcI4Cd9li6519w0RxY9lrr18mz6r/C4HLl/sW7FnPWESRKbPmmFWVciSxFDxNKng5YuuD6y5nLTsRJ5pv52JHnjdBv1SIccqcYJs6PIlr825L6E7c8oEq2qjNHmcomxl6LINi66H1ilb/Mip9mni5dJxBuVZCl1XLnlt2nUJ4fSrJlhVG+LMi2RkJ4Nrr1h03b9WecDOvPqCCVZVR2Juki4SiD2LfSsIAhP2YYLJ9npACXMvEcVPT9/Qouve8q5qqo18O3vuJB4hD71XLbpusVo5Z1uHN95evtULr9ugP3nqOHZBxN5/9ZLXCuGrGJImyWdTJlhWHc7YCSYsgzid7kXXV19xHaIsUJhon0z/XLlc4hpY6ttM8ApWl15DLBWNNqsmvPFXOGdbvYQtNlQumWTbqBw1WQ6SnqFrlryWDFzOquJ4WzHP/MlXmbSvXVQuAei/fDMAqTYqmcycVH63/tUblrwW813KYL69EkG98LoN+vPjSrkkuPbaJa/ZB9ZjEWQmTx032qya6M6OM+8eXnLd7fUxZenDFmufLCR2WnkAXViKArD0rcchlJhuIwZPb/40sQtKUQDBrl7mCGGZbx/fJl9TfNs7vGnpiz1X4SfbViWTgcIZkr5Ll1zvG1xHUnZDG/k2c07xbf9lS31b6r6SbmKk3gAMntdt0M/PngSgf3hpNuobVLb58Yn2CEyyJNIvTpPzr6v6+rxjiEC2fah6pbmTSLLA4PD6Ja95B5RyWvRce/RMivksvdI8xeBw1ddn7avwZtoniIrz4xRkGwNrl5YlXf1KnX/ubHvU9dPxCCGSiKGlD1TBYmHaNogr9ZoJltVA9DRJ2U1P76olLzl6Fd/OnGk/NpfWeN0GfSE2Tlz2Egx1L3mtd61S08vPtEfteX7yNA6hhKVruOrrGe8aekuTxhq1DKzx08wKYVxuz5LXulYrtejsdHtkeDOvncAiyFi7lwYmgKR7Nd3FCYOtqg178gzTlr6qBxdDqxTfpibbxbfKw8fRW923cdcQ4Xz7JCuu1BlmrANLSlEAgUHlIZtok0RQT7xug747dZYZ2yCCICx5rau7X9l6Rk+bYNlSzJ9VsmJ332VVX5eC6wiRJJNoj62nN3uOefvSbAmgb9UwBdmGGBk31qgaiJ5TAqS3v7pvS4G1yk4gnzXSrJoI5M4RdVT3bf/aK5BkgdL8SYOtqo74hOJb/+AVVV/P+9bSL063DSU2mJ8k7hqq+lrfOmXXqlYIXs943Qb9UGGShKv64hEsFqat7bP1TE0pP7TQ0NItPYC9V6mZzpxpj5JJV2GSlLv64rHZ7UxZ+nAk2kN3JTuj+LZ7dfXAZO2+BIsgM9smtM2e0hQZb3Xfuj1eZoUurPH2SFbys0rjs7eGb4WuYRxCifkp8+2VJYk+cZq8b3XV14OhbmKyD0ts3FjDTMDrMuirNfK8b03Ne+KuIUJtsvUszp9CkgX611RfPOrWMz5hftAv5rP0yhFKgdq+jTpWEci1h2/FiFIj7xuqXoKo9CDawLdKjTyFFKze2wGYsw/ia5ceREypkYe7+6q+rO5c518z37eR2bO4hQKEh6u+LggCM7ZB3G2SCOqJ12XQn588s2yNHCDvX1PeeppPf7MtUyMH6FvbPlvPlWrkABlf+/QgHMvUyAG61yj9ncy0+f0dtUZur1EjB0h5VtNdaA/fupepkQOEy/2d9JT5u6j58i7ZtYxvE64hQoX26O8c/9HfclInuefXZ9Avsxtq1cgBCK7GKRRJRpZO7zIanuwkEftAzddDXT2kZDckzM+eo5PKg8fbX3vxyIEhAqTJpc2flerLTRJz1PZt78AairIVKWa+bxNl3wb6l1IgVYj+IbrlKFKxYJRZNRHIT5FwDdZ8vbe8uypGzd+ZJKeVUlRwVe2YUPCtokecgzaYrBc6/N+ZP/j3unz26zLoD795Fyd+53kuHbm55j2OsFI3jUyNG2RVbQSKs6Sd/TVfFwSBeUs39rT5031y88r2N9g/XPMea7Ds20nza7nh0hxZd+2gb7PZmBPC2NLmZ8/5cnAMD9R+oFoCq7AIMpEZ88sQXdI8eU9t33o8PiL4sSTNz55L5Yd692DtByqBQVxCkWRsxiCrqkOWJLqlCCVv7ZjQCl6XQd9pt3HFpZfh99ce3O7tUWrSyRlzA5PyBc9TXGbxACTsPXjz5v4YAUoxZQH3DNSuO7u7lWZZfNpc34qlIl1ydMXFE7f14Mqav+OT4hOUZAtdfdUJCACOLsW3MZN9m8skCZBG9tXO9AGilh4cbeBbEhOkZSeBYLjmLfaQmqyMG2RUdSQi0ziFIvhr/w5awesy6NcDNVPNR8zdeiYT80qDKbD84sm4+gmW5gyyqjYsqUli+HB7fTXvCfQpD4TMvLm+jU6fxSrIWILLL56Us59AcdYgq2rDlp5iXghjs9tr3uPrXQtAatbcTH++HBitoeV9m3D04cub71t7Zop5S3fN/gOAp0fxbdLkXVSkzHZydFVncbWKpoP+7bffzrZt2/jc5z5X9fUvf/nL7Ny5k507d7J582buuOMOSqUSa9eurVw/duxY04a3ip6BNYiygBg3d+sZnRgHwBZa/gsu+QboliLIYskAq2rDkZkmYll64O18dK8aBkCMmR30lcXjDFen6akoevrplsyv5bqy08RsPcveEy7vsMyuk8enFUquu7s2iwsg7+4jLJof9D35WRL23mXvCfUrvlVLmGYhOav41rOCb5tFU0H/0UcfRRRFDh06xMTEBCdOLD3FdueddzI6Osro6Cg7duxg7969HD16lFtvvbVyfePGpdotRsHhcDAnhLGmzK3lJspfsLd7+aAvBIawCRKxOXMfUr7CDCnH8ovH7w8Sl72QNNe36Tll8fp6l188UmAVHvJkklEjzKoJf3GO9Aq+7e4ZJC/bkRPm/g6y5cDoX8G3om8VXSQomXz4LViaJedawbcDa5FkASlublNfrT4E+9fq8vlNBf3R0VF2794NKPNxDx48WPPec+fOMT09zZYtWzh8+DD79+9n+/bt3HbbbZRKS7PWffv2MTIywsjICLOz+mYIMWsPrqy5zdFcRPmBBftr18hhIVs1u94YLM2Tc1XnZZ+PeWsPzoy5vs1HFd+GV/CtWsudnzBXZTEszVPwLN9/sFgtzAld2ExOVorl3k7X4PCy96mltYiJPQi1MVr0Lt83c7lczAtBLCb7Vowrf3+5vlkraCrop9NphoaUhRIIBJiert2oefDBB7nzzjsB2Lp1K08//TQHDx4kFArx+OOPL7l/7969jI2NMTY2Rm/v8k/mVpFy9uEvmFsnFyusguW/YE+5lpueM++ka6lYoEuOIa7QvANI2HtNbzzLiQmKspVw3/K7KHe34lt112UGsqkEATLI/pV9G7P34s6Z3NRPTpKWXfgDtRujAK5yiSI2ZZ5vY/NTOAQRoY7GaNTag9PkxrMlNck8QRxOpz6f38ybfD4f2ayyXUulUkg1DjhJksRTTz3FjTfeCMCmTZsYHFR+1OvXr69aFjISec8AXZK5QV9ITRHFj8vtXfa+rvJTv2Bi4zmiNkYDKy+enLufkMmNZ2tKaYzWOpilQt1G502s5c6Vd3C24MrNu4yzj6DJjWdHZlppjFbRtjofavknM29e0Fepw/U0RlOOPvwFcx+ozuw0UevyvZ1W0FTQ37JlS6Wkc+TIEYaHh6ve9+yzz/LWty4Mzt6zZw9HjhxBFEX279/PddddV/V9RkH2DeInQy4VM80GZ3aa6AqNUYDuvlUUZCuSiY1nlSbo7Fq+MQogegfpkmOmHiJy52ZWbIwC9JR3WUUTD2glZsqN0Z6VfVvwDtItzZvaePbkZ1ZsjAJ0DSpnDgoR83yr7o7raYzmPQOExXm9TVoWvsLsin2zVtBU0L/lllt46KGHuPvuu/nmN7/Jhg0buPfee5fc96Mf/Yi3v/3tlf+/77772LNnD5s3b+aGG25g165dzVuuAawh8w8R+fIzJOv4gpVDRF2mNp7rbYyCUstVDhGZl+H5i7NknCv3HzweL/MEsJrYeF5ojNbRvPMP4hSKpKLmlSFCxTmy7pV9Gw53k5adYOIBrVx5dxyqo0Yu+QYIkqJg4lS9LnGevFufg1kAtmbeFAgEGB0d5cCBA9xzzz0MDAxUzdq/8IUvLPr/a6+9lqNH22d8mnqIKDF7hlVXmLPrCIvzRAJLB71UQ9zWY2ottxCtf/Goh4jiU2foqaEeqje6xXkmPTfUdW/U0o3DxKa+euhNpbsuB3vlNPlpfF3LNyf1gCSKdMsRTq1woBAURVuzT5NL8QkkWaC7f+VkZeE0+TgDly6duqc38rkMYRJIdfTNmkXTPP1wOMzu3bsZGDD+R6cV1HpjNmJOFlIq5AnL8boaowBpRw/eonlbTzkxSUG20tWzsr2+MgU1bdK2PpOK4ROydTVGAVKOHjwF83wrpCZJym58/tCK93rKtenUnDm+jc1NYhdEhDp6OwAJWzeuvHn9HUt6iogQxO5YuTHq6lL+TXGTfBuZVnZ8Kx16awVv2BO5AKEexbHFhDnb5Nj8FBZBRvDXt5UrunsISuZxya2ZOaJCCMsKjVEAf9m3hbhJvp1RHuTWQH1JSd7ZjV80z7e27BxRy/JMGBX+8kM3FzMne46Xz4rYQ/X5Nufoxlcyz7eO3Dxxa1dd93rDyu82FzWn1Jcs+9ZZp2+bwRs76Id7yMs2SJlTMonPKT8sR2Dl2iiA5OklRArRpOaoIz9P0hqq696u8hxSKWmObxPz5cUTrO+BWnL3EpbipjVHXfkIaVt9QT9YbvaWTEpW0hHld+uqMzAV3D2ETExW3IUIaXt9vg30mpusZKLKg9wdasPyzusBFquFqBDEkjVn65kpZxPucH2Lx+JVGr7xeXOyEHcxSsZeX8bkcrmIyT6EjDnUwmx58XjrrXl7e3EIJTJJc0ZSektRso76fBsIhMjJdkib80DNlQOir6u+wCR7evCToZTP6GlWTfjFGIU6fRvq6VdO5ZqUrKgPm0AdJdRm8YYO+gAJaxhnzpxabj6mLp76ApO9nLUmTJJi8Jei5J31LR6AmCWEzaQHajGhLFp/d32Lx+ZXdluxGXNquQEpRtG1MnUXlGQlIoSwZszxbans21CdgcniK/t21pzfbUiKUXLXx3t3OpzEBD8Wk5IVMdWYb5vBGz7oZ+xdeIrmZHelcjYR6KlPTc8VVn4IaRMaz7IkEZLjiHUuHoCUrQu3Sc3RRhePs7zbSs4b71uxVCIkJ5E89fs2aQ3jzJvjWzk9S1G24g/VZ68jqPg2YcIONZOK4xHyyN76ee8xSxi7SYmgkJ4jJbtxeWqr2LaKN3zQzzu78ZvUZJLTsxRkK4Fgfdmzr1upN+ZNaOBl0glFAtpbf2DKOs1r4AnpORJ4cLqqj6C8EN4yayNrQgNPbehbfPUHpozDvGTFmpkjJgTqaugDuMs72UzEBN/OKWvF6q/ftylb2LRkxZabJ2YJ6vo33vBBv+TuISTHTJmVqyye4LIa3+cj3KvsCMxo4MVmlQVr9dfXdAYourpNYxvZc/PEhVDd9wdNZHKpGbCtThYXQN7ZQ8AktpE9HyFRZ0MfwF+m7+bjxicrqfKDxhms/3drZiLozM+TstbXdG4Wb/igL/j6cAgimYTxWZMjHyHRwBccCIbIyE5IG19vTJZLSo462TAAsrcPP1lTGnjOQoSULVT3/aHuAURZQEoa79sFNkz9vhU9PYTkBLIk6mVWTXgKETJ1Mo0AQr1KiU004YHaDBum6OohJJsT9L3FKFlHJ+jrCjVzjc0aL2TmKUbI1EklA2VWbkwImtLAy5WP/HvqZBoBlXKFGQ08bzFKrk7GBoDDYVdKFiY08BbYMPX7VvD2YhMkklHjWSY+sbGGvs8XICW7TElWimXf+rvr963s7cVDnnwmoZdZNdFIQ79ZvOGDvnoIImVCc9QnxhtaPAAJWxinCacbCw2yYWBhVxA3gW3kl+IUGlw8cUsIR85435YSSjBUS0z1wKb6dtZ4tlFQStTNhoFysmIJYcsaH/RLKeVvhnvr9+1CImjs71YSRYJysiGyRDN4wwf9SgMvYmy9UZZlglKs4S84Y+/CWzR+6ymWmUbh3vqDvqfMNsoY3BwVRZGwHEdu0LdmsY2k1Awl2UIgXH+zUT0YlTKYbZRNp/AJWfA0pgKZtIZxmcE2Ss2Rll24PP6636KyjZIGSzHEo3PYBbGhhn4zeMMH/WCvOQ28TCqBV8hDAzQ9gILLpAZeZo4Ubpyu5XX/z4eqv1MwmG0Um59WdP99jfk2ZxLbyJqdJ94AGwYWkhWjpRii5V2b1d9gsuLoNiVZseXmiDfIhnF3mZOsqDtiWwNkiWbwhg/64Z4BSrIFKWXs1nOBStbYFyy6ewjJccMbeLbsPHGhscUT7leCvmjw6cZEWd7CFmhMnlZlchkNe26+ITYMQLBHZXIZ69vkvPK7baShD1BwdROQYjpYtDyc+QipRn3brUoxGOvbVLna4Ap1gr6usNtsRE1o4KlsmEaoZKCwjayCbHgDz1WYJ9UAYwPA6/GSlN2GN/CaYcOAeQ08d7F+3R0V4e4+irIV2WDdKPUcg6dBQTDJ06tIBpeKephVE55SlEwDDX2gMl5TTBq7+1cprd465S2axRs+6AMkLUFseWO3ntkKG6axL9hW3lYnI8b+IL3FKNkGmEagNPASlgDWnLG+bYYNA2Atn9pMRIwNpP5SrOGGvtVqISb4EXLGUo3V7NfXQEMfQCgf6kvFjG2UB8QYxQZ963a7ScpuhKyxvi2WfRto0LeNohP0gYwtiKsQM/RvFpqgkgE4A0pgShmc6QekWMNsGICUNYijYGzQV0sege7GNMntgXJgMviBGpRilJrwbdISxJ6LaW/QMihV5C0a863Np/z7Egb6VhIlZV5Fg01nwJRkRU7NIMkCwQZjQqNoOujffvvtbNu2jc997nNVXy+VSqxdu5adO3eyc+dOjh07BsBnP/tZtm7dysc//vFm/7TmyNuDeEoxQ/+mVF48wQaFldzloJ8zsN4oiiIhOdGQNoyKnC2IqxjT3qhlIKdmEWWBQLix0pmzHPQzMeN8m82k8QvZhrRhKu+1BnAa3BwV0rNkZCduX6Ch9znKO9S0gSMeEzGFDSM0IB2iImUJ4DB49y9k54gLfqw2u65/p6mg/+ijjyKKIocOHWJiYoITJ04suefo0aPceuutjI6OMjo6ysaNGxkbG+PgwYM899xzrF69mieeeKLlf4AWKDq68EsGH8RIzzZMJQPwdSl16qKBJ0fjkRlsgoTQRGDKO8L4xLgOVtWGJVvWhrE1Ng3UW+4B5A30bUxlwzRB08s5QnhKxvrWlp1vmA0D4Cn3roxMVipsmAYb+gA5ewi3wYmgPTdPQmfdHWgy6I+OjrJ7924AbrrpJg4ePLjknsOHD7N//362b9/ObbfdRqlU4plnnuGDH/wggiCwa9cunn322SXv27dvHyMjI4yMjDA7a8ziE91dBOSkoYwYW3aemCXU8PsC3coPWEwZx3lWtWHsTSwe0RUmIBv7QFUWT6jh9/nLD1TRwKCvsmGcDTadQU1WjA36zkKk7kE652MhWTGupp9qsqEPSrLiNThZcReidQ97aQVNBf10Os3QkNLhDgQCTE8v3bJt3bqVp59+moMHDxIKhXj88cfret/evXsZGxtjbGyM3l59DymoELxd2ASJdMK47Vyj2jAqvF6/or+TMS7op+ZV0arGF4/s7sZLjmI+q7VZNeFuUN5CRTDco+jvpI1r4Klc8HqnUJ0PJVlJGZqseIoRsnUO0jkflWQlbdzvNlueV+FtQDpEhZKsJLU2aVn4SlFyDn0lGKDJoO/z+chmlUWcSqWQqihUbtq0icFBpV69fv16Tpw4Udf7zIDVazwjxlOKkbOHGn6fIAhK3c/AJlO+3Bj1djXOH7Z41Qaecdt6bylGvgnRKrvdTlzwGcraqMhbhBt/oJqRrPjFOEVn4741I1lR51X4G2RxwfnJinFigQE5TqkJ3zaKpoL+li1bKiWdI0eOMDw8vOSePXv2cOTIEURRZP/+/Vx33XV1vc8MqA28lIFNJp+YoOgINfXetDWA3UBGTDGpLFRfE4dGKhTTqHEnR/1ykpIz1NR7U0LAUPqumFIeML4mHqjW8gM1aZCEiCzLBOQkoqvxwCQIAgnBj9VAiqm6Yws0lawou5nEvDHJSqlYJCCnkdxtGvRvueUWHnroIe6++26++c1vsmHDBu69995F99x3333s2bOHzZs3c8MNN7Br1y62b9/Oz3/+c+666y4eeOABbr31Vk3+Ea3CVW4yZQ1sMjW7eAAytpChjBi5vCUPdDWejbrKbKOMQRRTURQJyCmkJn2btgVxGvhAlbMRRFnAF2i8ZFKh7xq0Q81mUsogHU/jtgKkrAFD6btCNkJGdmJ3uht+r608dCVpUCKYiM0pg3Q8+pd3GqM3lBEIBBgdHeXAgQPcc889DAwMcN111y2659prr+Xo0aOLrlksFp544gm+//3vc9ddd3HJJZc0b7mG8JW31oWEMQ28bCaNR8iDu7nFk3eE6EoZqAuSjZKRnXjqnEJ1Ptzl3UHeIN8monOEBRlLk4EpZwsRLBgnYmbJRkkIfsKW+nV3VFSSFYN8G4/M4GEhC24UGVsIZ9G45qgtHyNhCdD4r/a8ZMUg+m4yOkMXYPU159tG0FTQBwiHwxUGTyNwu9186EMfavbP6oIKa8MgRkwsMo2b5hdPydlFIGkcI8aaj5K0+JtaPAGDKaaJyDRhwNqg2JqKgjOMP/uStkYtA3vZt83sS4xOVtLl3Zq9Sd8anazY8zHSlsbOE6gwOllJx5S/42hgrGOz6JzIBQKBEHnZZliTKRVVvmBbk4tHdncRII1okI6JvRAj1eTiUeupskGsjUxcXTzN+VZ0dxGUEyDLWppVE45inIy1OW620cmK6lu1rNQoSs4uQ+m7rlKcrL053xqdrOQSCpXV3aRvG0En6AOCxUJC8GMxiBGTKy8eV6C5wCSUdwhJgxgxrmKcrK25xeN0ukjIHsga5Nvy4nEFmxxE4e7CIZTIpo0JTu5SgnyzgSkQoiBbDUtW8uWGvqdJ38rusJKsFAtamlUTHjFBoemgb2yyop5f8IQ6Qd8wJC0B7HljmAV59ane5BdsK5/eTBjUZPKICQpNMo1A0TGxGcTaKJQXTzNMI1hgxCTmjWHE+KTmWVyCxaLo8BtEMS2lyr5tgl4KIKi+Naipr7C4mmvoV5KVjDG+Vc8vqOcZ9EQn6JeRsYVwGiS6Vlk8TQYmZ4URY0zQ98uJpimQAGkDRdfUxdMMBRLAHjCOtdEKBVJF0mIcfVdugQIJ5yUrBuxQS6WSwuJqgQKZsBhH35UzUUqyBa+/TSmbr0fk7SHDjl1L5ewh2ORT3RNSdUz0rzeWSiWCcgq5hcWTtYVwG0UxzTRPgYQFRowRGjEZlcXVJNMIjE1WyEbI0BwFEs5LVmL6P1Dj0Tllepq3eQqkkcmKNRchIfgQLPqH5E7QL6PoChsnulbhDzfDhwGv2mQyYNpXIjaPVZARWuAPF5xhfAb51pJTKJBCExRIAK+BrI14mV9vbSEwGZms2HJREkJzDX1YSFbyBiQr6kFLWwu+NTJZseWbJ0s0ik7QL0Mqa20YoWNizSk0vWYRKgd9yQDWhjqhq5XAJDrDBAwK+rZcjFQLvg1URNf0FwZLV1hczfu26DQuWbEX4k1TIAG8ZalrI5KVdHlYS7MsLoCiM2RYsuIsxslYO0HfUAieHmUMYUz/QOooNM8fBnB7vKRlJxjQwFMPp7SyePB04RHy5LMpjayqDWcxRrpJCiRAQBVdM6CBp54Ad7VA05PcxiUr7lKsaQokGJus5Mo7NXewed+WnF2GJSueUpx8E1pczaAT9MtQNWKMYG0oFMjWnuoJIYDVgKBf4Q83S4EEBJ9xomvuUoKCvXnfWq1W4oLfEEbMAgWy+UzfyGTFIyYothD03V6fYcnKAgXy4khWfFKColN/LX3oBP0KHOVsK23AsetWKZBg3BjCQjnoe1vgDzvKrA0jVExboUCqMIq1UUq2RoEEY5MVv9S8kJ0Ko5KVCgWyBd8alayoLK5m9aIaRSfol+FWWRsGMAsUCmRrX3DWbozomrp4/E2IralwBo1hbSxQIFvTL8lYQ7gMeKCqJaRmKZCwkKzorRBbLJUIkEJqUi9KhVHJilxmcXkCza+zSrKi8wM1lUoqQnYt+rZedIJ+GSpro5DSNwtRKZCtSqgqrA39643q4vE2SYGEhVF5haS+JYh0RciuNd/m7EHcBvhWKFMgbU2yuGChH5DXufEcj5QpkC3QSwGytiAuA0TXWmVxwcIDVW9BO/VkfSv00kbQCfpl+MLKFyzpfOw6XqZAtrp4RGcQvwGTfSy5KEnB19LiUX2rHkrTC4l5JdttdfEUHUF8BgR9ay5KUmieaQTgLfda9B5DqO4krC0wjQAKjiAeA3xrz7fG4oKFXoveyUqqXFK2t0KWaACdoF+G3x+iKFt1bzJVFk+LgUlyKTomks6ia/Z8jGSL/GF/OejLOjNiVAqk3d+ab0VneVSezqJrjhYpkLBw8ljvEY/peOsUSICSI2RIsuJsQchOhbr7L+nMNsqWfevqBH1jYbFaiAs+3UXXFiRUW/yCyzuFVFzfDM9RjLXMH3a53KRkN4LOomuZ8ujBZlUgK/CEcQpF8ll9g5OrFGtayE6FP9BFUbYi65ysaEGBBIVi6pfTyGJJC7NqwlOKk2uBaQQLZzb0fqAWykqezWpxNYqmg/7tt9/Otm3b+NznPlf19Xg8zrvf/W5uvvlmPvCBD1AoFCiVSqxdu5adO3eyc+dOjh071rTheiBlCWDXmbWRU5/qLS6ehVF5+jbwFP5w61SyhAFzfVUhu2ZVIFWop4/1VjH1asDislotJAQfFp0fqCWtVCDdXVgEWfdkxSslKLbINHK5XKRkl+4zk0vqONJw8w39RtBU0H/00UcRRZFDhw4xMTHBiRMnltzz8MMPc/fdd3PgwAEGBgb44Q9/yNGjR7n11lsZHR1ldHSUjRs3tvwP0BJpawBHUd96o1p7bYUCCQs7hYzOi8cnJVumQIIyKs9e0LeBp+rKt0KBBLCX69ZpnX2rBQUSICn4seVjLX/OctCCAgkLyYo6U0IPyLJMUAMKZGWur86+rbC42jnoj46OVqZm3XTTTZVh5+fjox/9KDfffDMAs7Oz9PX1cfjwYfbv38/27du57bbbKJWWbvH27dvHyMgIIyMjzM4aM8BARd4WxF3SOTC1MG/2fLgCyuJRs1s9UKFAakAly9kCuHT2rRYUSFh4oGZ11IhRKZCyBr7NWAO6jyHUggIJC/2WTEw/32pJgUxb/LqrmC6wuJoTsmsUTQX9dDrN0NAQoMzLnZ6uXWL48Y9/TDQa5frrr2fr1q08/fTTHDx4kFAoxOOPP77k/r179zI2NsbY2Bi9vcbUuFQUHPprbUjZaHnxtPaDdFdokPoF/VQ6pQkFEiBvD+ovDJaNkm2RAgkLdWs9RddiZRVIoUUWF5Qppjo/UIVcrGUKJCwMDsrp6NtERPlsLSiQRlBMrflYS0J2jaKpoO/z+chmswCkUikkSap6XyQS4ROf+ARf+9rXANi0aRODg4MArF+/vmpZyEwYwdqwZFunQAL4VdaGjlOTtFw8RUcYn6RvY9Ra5ma3CrVurSdrI1UWsmtFbE1FwRHCq3OyogUFEsBTfqDqSYNMaaEXVUberj/F1FGIkTZIbA2aDPpbtmyplHSOHDnC8PDwknsKhQK7d+/m/vvvZ926dQDs2bOHI0eOIIoi+/fv57rrrmvech0ge8I4KVLK6ae1Yc9HNVk8gWCZtZHRb+upSlLYNQhMRrA2WhWyU7EwKk+/Bp5KL9UiMInOkO6zZ53FGFkNApOqtCnqeB4mW5nlq0Gy4gzprmLqKsXJtajF1QiaCvq33HILDz30EHfffTff/OY32bBhA/fee++ie7761a/ys5/9jM9//vPs3LmTRx55hPvuu489e/awefNmbrjhBnbt2qXJP0IrCOUaYErHeqNWEqp2m5UEPl2FwTItzvJdhDJrI5fUz15XKU6uBbE1FT6Ph5TsAh1HPFZm+WrgW8ndhYsiYj7d8mfVghYUSIBAqJuSbNF1rq9a8vS0yJADkFxd+OU06Khi6hUTFAxS2ASwNfOmQCDA6OgoBw4c4J577mFgYGBJ1n7nnXdy5513Lnnv0aNHm7PUAKhb7WR0htDgpbr8DXcpTtalTZc+afHpyiwoVBQ2W188Vq/SF0hEZ3A3OSZyJXjFBFH3FS1/jiAIJAUfllysdaNqQD2d7NWAsWEp91yS0VlCA96WP68afFKSuHN9y5/jtNuI4AVdfasNiwuUYe4WQSaXimqT/FSBX0oybZDYGrTA0w+Hw+zevZuBgQEt7TEVjvJ2MKsjVc8ntTZv9nykrUFdWRtqYPJrEJjsvjLFVMddlF9qXchOhXJmI6bJZ1WDSi9tlWkEYCszYvRSiNVaBTJpCehKMZVanOV7PhbOw+jj20KxzOK6GIL+6xHugMqI0ScwqYtHq8CU05liqsomaBH01VOyerE2iqUSQVoXslORsQX1pZhmFQqk2986e0dVg9TrgaqyuFqZk3w+0paArnN9LdkIWZxYHa1TIBfObOgT9OPRWc1YXPWiE/TPg3pgqqgTsyCTyeDViAIJiniVrkqb2RhZHNhcrZcM3DoLgyViEU0XT94WxKNj0LfkYpqwuACcZd/qpbSpJYsLIGvX94FqLcQ0YXEBOFWKqU5nNlRZFi1YXPWiqZq+mSgWi5w9e5ZcLqf5Z0uSxIvv+iYWm58XX3xR888XSyWs7/omDkewpc93uVysXr2akjOMP6EfDdKaj5EU/GhxZEQ9Yq4XDTIZnaEbsHq1CfoFZwhfRr8HqrWgUCBDGnyWmqyUdAr66rxZu1a+tQfx5l/R5LOqQZnlq03Qd+tMMa34tkWRwEZw0QX9s2fP4vf7GR4eRhAETT9blmWkiSI5Rxhv7zpNPxsgl03jipbIeNc0rQ8jyzLz8/OcPXsWyR3GRQG5kEFwtHYgqRrshTgZjRZPMNRDSbboRjFV5SgcGmVMkitcZm1IYNF+Q+wsaDcIWy2/iTqpmKp68k6NGplFZxh/Ur9kxVlMkGtRyE6F3hTTXPlB7dapSVwNF115J5fL0d3drXnAB4W1IQpWBEkfLrlU5qi3sqUXBIHu7m5yuRyWMsU0rVMt11lqfZavCpfDSgIvgk40yFxCWZQuDbjZAJRZG0WdHlJuMUFeI98GfD4yshN0CvpqluvRKDDJ7jBu8sjFrCafdyGUcaTa+DYY6kaUBd2UNovloU2tigQ2gosu6AO6BHwVElYEWR9OrnowyWK1t/Q56r/f4lPFq/RpMnnEJAUNuNmwIF5l04mqV0ipQ8a1ke6wlEsZerE2PGKSokMb39rKsuBWnXxbLAc8T1ibwCSUe1oZnerkPjlJSQORQACP004cr26y4GJaJUsYJzlzUQZ9PSEJFt2C/mPf+x7P/fwXWGxLq2rn9yiKxSLF4srDUZwVpU2dFo+U0CwwgUIxdeg011ddPD6NFo+tTDFN6zTX1y+nEF0hzT4vKeg3zF09mezXSO9d9W1KhweqKEoE5BSSRr5Vzmzo6Nvy7szbyfTNgyTYsNQR9KsphJ7/2sTEBL/zO7/D7/7u77Jnzx7Gx8f5w3v+mH0PP8qnPvVpXnvttUXvueWWW3jmmWcYHx/n7//+7/kv/+W/MD4+zquvvlrzb7lU1oYONEhJkgnIKWQNA1PWFtBNvEpdPD6NFo/6QM3pcGYjly8QFNKacrMztgBOvRgx2ShF2YrTo00CUFHa1CFZSSbjOIVSZTehBVLWAA6dKKZCLkYKD0KLu/9GcNE1cvWGLFixsHLQ/9jHPsZLL72EIAjEYjEikQiXXqqc4l23bh3/8A//wBe/+EU+8pGP8Oijj/Jbv/Vb/N8P/Dnvu+FqfvOTn2P16tWVz3r11VdxOp3kcjm+9a1v8dOf/pR8Ps+3v/1tSqUSH/vYx/D7lzZU1VJGUYdh7slkkqBQ1IybDcowd0/hVc0+73wIuRhpXHjtTk0+r6K0qQNrIx6dwwVYPNr5NmcL0aOXb/MKvbRLo7Kq2hDWw7eJ6CwhtGNxgZKsdJf0qenbyr716fLpNf6mgX/r4oBgxYqkKG0u8yP/yle+Uvnv0dFRfvjDH/LAAw8suufHP/4xN998M6VSia1bt/LXX/5bPn9/lGS2wI033shf/uVf8pa3vIVPf/rTXH311ezatYv777+fs2fPYrFYiMfjfOYzn6ka8GGhlKEHsyAZmyEI2DRcPKIziD+lD2vDmo+REvxoJULgU2mQOvg2FZulH2252UVHEF9WH4qpvUwv1eqX4K3QILXfRakH1LQQCVRRsAfxZE5p9nnnw6GRFlcjuKiD/v/12C85PqHtD/3ysJXPb7cjSyKCdXn3fPKTn+SLX/zikuuiKGK1WvnqV7+KLMs89dRT/OVf/iXx2XOs6glx7fU3MTY2RiqV4lvf+hZHjhzhkksuwWKxkE6neeihhwD4/ve/TzRau5YY9Pt1Y21U+MMaLh7J3YWbPBRzYHdp9rlQHjJu1YZeCuAP9yDKArIOQT9boZdq+EB1hfHHk7pQTJ3FhGYsLlg4syHp4dvy7kELhU0VRWdYt2TFVUoYqrAJF3nQ1wMqM0YSi1hXCPqjo6OV//7617/O4cOHkWWZXbt2ccMNN/Av//IvHD9+nE996lOIosjDj3wHh8OO9xv/QjKZ5Ktf/SobNmzgf/7P/1n5rGw2yyuvKAdXZmaWb3Q5bVYm0WeYe7YstubU8tBImWKaS8zi6l6j3eei/eLxuxzEdGJtaKmwqUJ2h7EiI2XjWLza6ri4Swlybu1E8oKBAFnZUenDaImixvRSAMkZxkMOSnmwaVM+VOERk0Q8g5p+5kq4qIP+Z399g+afmYrPQ/oMolhiJTa95byM6sMf/vCi8s7LL7/Mf/7P/7ny/5lMhv+wcztd3V1cce0Wjh8/DsA111xDJpOp3Dc5Ocnf/d3fATA1NVUZOVkLeolXqdxsl4asApUGmYrOaB70PWKCmPsyzT7PYlHno2of9NWSUatzks+HKj+Rjs3g1zjoe6UkSceVmn2ey65fslIsU3e1UC+toNx7ySdncYZXr3BzY/BJSWY1opfWi4s66OsBtaQjtTjs48orryQcDnPbbbcxPT3NqVOn8LidZHJ5UqlUZfLYhejp6eGWW24B4Lnnnlvx76StAfw6MGLUwOTTMDDpOczdJyeZ00i9VEXaos8w91JaCXZa+lZVMU3FZvEPXaXZ5yoigSnOaexbvZIVubwz84e0S1asqm+j2gb9YkkkSArZHdLsM+tBJ+hfAPXg1HITnkRRXJTlX4hCoYDdbkeSJB5++GG+/OUv893vfpc//N0P8G8/Pc51mzcv4uHLsowkSYiiSDAYZPv27QDEYrHK37Naq+87cvYgfYWTjf4zV4RYDkxaHhpx6aS0WSqJmtNLQVHa7C1qX4JQpShanZN8PvQa5p7O5vAJWc1EAiufaw3g0+GBSjZKHjtOp3ZzBdS+ViY+i5YKOfFYlB5BQtCQxVUPOkH/AljKmf5yQf/RRx/li1/8IqFQiJ07d1auq/+dz+d5+OGHede73kVPTw+f/vSn+drf/z3XXjlM2uIj1D/I888/z2/91m9V7p+bm+M973kPvb29/Omf/mnlM3/6059SKpX47d/+7aq2FB1BvDntWRtCTuFm213aNUdVpU2txaviiRjdgliZfKYVCvYgnqz2rA1LLkoSD34NudnuoBKOtFbaTERn8QFWjaV/87YAvcXTmn4mgLWsXurU8NS+S6czG6nYDD0saPYbhaaD/u23386LL77Ie97zniWjEpe7p573mQmr1abMRV9Gf+c3f/M3+c3f/M0VP0vl7QP8n5/8JMz9kmuvvRZv1yD//M//XHlt+/btley+UZScYfxySnPWhjWnyNN2a7h4fF36sDZSsTlNFTZVFJ0hfGntWRu2gkIv1e5xCp6QPiqm6uhQq4ZMI4CCI4wvf0zTzwSwF+OkLQG0PN/qCelDMc3owOKqB01FiUcffRRRFDl06BATExOcOHGirnvqeZ/ZsFoERCyaz8QUVbG1FRhBjUJ2d2FFQs5pu1W2aUyBBAj59WFtpCvcbG0Xj3g+a0NDOAoJzbnZgVAPkixo/kBVmUZOjfXeS84QPjmpnIfREAq9VNvfrdpw1/o8TMW3BipsQpNBf3R0lN27dwNw0003cfDgwbruqed9+/btY2RkhJGREWZn9RutVwsVpU1ZW6XNBYVNbYO+ytpQKZZawVmMk9U4MHkcVmL4EDRmbaglDc0XT9m3WmfPrlJcc2520Osijhc0ppjmy+qlbo21YSR3GJsOyYpHTGgmEqgiGAySk+2ay4IXyifpvQHjxNagyaCfTqcZGhoClCHp09NLRamq3VPP+/bu3cvY2BhjY2P09hrrDBWiDkqbCwqb2gZ9mzrDU2OlTbeYIK/x4lGUNrVnbeR14GbDYoqplvBISQoaCtkB2K0W4vg1p0EWdaCXAlg8yu82p3Gy4pWSFDWmQPqcNmL4EbLa7lBLFXrpRZDp+3y+CuUwlUohSVJd99TzvnaArIPSpizpE/QXhrlruyvySUlKGgcmgIzVr7l4VSmlrcKmCoc6cFxj3/qlJKLGFEiAtEV734o60EthQd5DyweqHiKBoCpt+jRPVtSdg1YigfWiqaC/ZcuWSmnmyJEjDA8P13VPPe9rB0iCtS6lTRXFYnHRA6xUKiFJEsnzpgOpQV895Xvy5MlFEgvNSCvDwsSdgoYZkyTJ+DWUpz0fegxzVxePVtK/KvRQ2swVigRJaU6BhLLSptZnNrIRJFnA5dPWXocOSpvJlDLAXQ/fpnVQ2hRyUbI4sWgwwL0RNJV23nLLLezYsYOJiQl+8IMf8I1vfIN7772Xz33uczXvOXz4MIIgLLnWjpAFG9ZllDafffZZ/uzP/gyXy8Xzzz/PZz7zGb7//e9z6NAhduzYQalU4lOf+hR/8Ad/wF/8xV/w4IMP4rBCKRPnU3/6AG9685v52te+xk033cRNN90EKP769Kc/zdq1a/nXf/1Xnn32Wf78z/8cURRZt24dtioa/ACeUD+wcBJRC6SyGQJCTpfFk3eE8Ka0ZW0IuSg57Lic2o6MdAcVRkwxpWFgikfpFWRNpX9V5OwhPLkzmn6mMsDdS1BrPZ+A4tu8hslKMjZLELBoTC8FyNqC9JZeW/nGBmAtK2waG/KbzPQDgQCjo6Ncf/31PPXUU1x33XWLAn61e4LBYNVrbQnBigUZ5Orlpx07dvBHf/RHXHXVVfz1X/81v/d7v8djjz3GyMgI//t//2++973vsX37dh5//HFWr16N1Wrls5/6A9606Rrm5uf5D//hP2Cz2SoHvC6UVn7iiSdIJBJ8+9vf5lvf+lbN07sAgVC35qyNZFRZiHosnpIzrDlrQx3grjUqSpsaPlCTOlEgAYqOED5J2zMbtnyclEZzks9HZZh7Srugn6qIBGrv27w9hEfU1reOYpy0wQqb0AJPPxwOV5g4jdxTz/vqxg8+BVMac30HNsLWuwCl+SrYHFVv83g8/OQnP+F//I//weHDh/nkJz/J5s2b+b3f+z0OHTrEvn37mJmZ4f3vfz8Ad93zaTZddRl2ux2HY/FnNiutDAusDVlD1kY6qgQmmw6LR3YprA3yCXBpNJSjECdt8aN1219lbUgasja0HuB+PkRXqEwxLUCN322j0IPFBYqKqSQLlZ6BFligQGrv25IzpChtriC53gicxQS5iynov65hWdDfsVZZPA8//DD79u1DlmV27tzJr/3ar/Ge97wHn8/HDTfcwNmzZ9mwYQP33nsv69evB8BmseDzLx2V0Iq0MijiVVP4sGrI2tBFYbMMlWKaT87h1CjoO4v6yNP6XXZm8GPR8IG6oLCpwynM8olkORtB8A9o8pEuMUHOoX0pKuR1k8ADGjJiVOquWwcKpOTuwoYI+SS4tPmtecQESfclmnxWI7i4g/67H1j5niYgxJUfolRDafPWW2/lwx/+ML/+67/ONddcw6pVqzh58iRTU1P09CjNP7/fz2OPPYbNZkOWZYrFIjabHfmCskYr0soqUhY/Dg3VIHNlCqRbh0MjalkjHZ3B2auNKqZHTJB2aavaCcpBvaTg01Rps6ijby0Vpc1ZfBoFfa+YZM4xrMlnnQ+X3cIMPk0fqCqLy6uh2JoKtQdTSM7j0Cjo+6QUUR0Ycivh4g76OmFBabM6g+Z8sbX777+f559/npMnT/Laa6+xdu3aSmD/7ne/y8svv4zNZiOZSuHz+ysPABWtSisDZKxBTZU2K/xhjdkwcL7S5qxmk5h8cpK4DhRIUJQ2AxqyNkrlIeOBLg2lf8tQJ3FlYjP4NHgGyrKMX04yowOLSxAEkpYAjoJ2QV8tFQU0pu7Cgm/TsRkcva1n56rC5hkN5yTXi07Qr4KK0uYy+jsqrFYrHo+HdevW8cwzz+B0OrnhhhuQJIkvfvGLfPvb3+aFF17g2w/9HeNnJvjYH+xEkqSqp5GhcWllUJQ23XntWBtSWSbBr6UmeRmq0qZWrA2xzM1+Taegn7UF6Stqx9pQey8eHco7zrJvsxpRTLP5AgEyukn/ZjSWBRdyEUqyBZtb++zZXlExnUGLMJ1IJugWioYrbEKT7J3XOxaUNmvTNmVZrmT0GzZsIJlM8s53vpM9e/bwzne+k7/7u79j27Zt+P1+7rvvPv6vu/fidLv4X//rf3HVVVfx0ksvVeSSq0krb9++nSuvVAZXiMvYAQprwytpKAyWjSLKAg6P9otnQbxKG0ZMIpHALRQqgy60Rt6hLWtDyEXJ4ELQeFwkLEglaKW0GY/NYxFkLBqrl6rI2YO4Str51lJW2NSq0Xo+Kmc2Etr8bissLo1FAutBJ9OvAqvViiQLNZU2C4UC27Zt49Zbb6VUKvHxj38cWZb5m7/5G7LZLLt37+ZP//RP2b17NzMzM/zJn/wJa4b6+W9330UiLzA9Pc2b3/xm3vKWtwCtSSuDMh/VG89qxtpQF09IY242LJw+1IpimozNEUa/xaM1a8OWi5MUfGh7okCBV2OlzZSOLC6Agj2k6TB3eyFOyhLQJBO/EForbWbK9FK9fLscOkG/ChaUNqsHfYfDwdjYWOX/P/OZz1Q0hXw+H9/+9rdxOp1YrVZCoRBDQ4MQ+RVOl4d1A32sW7eOkZGRyvtbkVYGKttvrVgbtjIFMtTyJy1FyOciLmvH2lAlEuw6aZJLzpCmrA1HMaa5wqaKQCBAXrZVynOtQmVx2XWglwJIrhDeRAbEImgwW8BZjGs6wP18+CtKm9r4tsLi8hsrwQAXaXnnQgaM1rAIAiJWqFOKQQ34Kjwez6JJV5LGssoX/vuFsniVVnVyZzGuW2BaEK/SpoGn1q/14GYDFaVNrWR1nRoPcD8fIY9TUTHV6IGqljL0YBqBIgsOaKYM6haT5O36+Dboc5OQPZDR5negigRqrV5aDy66oO9yuZifn9c98IuCFYtGmvoVhU0NZJVlWWZ+fh6Xa6EmrGZiWolXuUray9OqUMSr/JqJVxXKpQyPTotHnWqkava3Cq+Y1M23DpuitKnVmY2ijiwuOO/MhkbjM706iQQCBFw2ohrKgqssLn9Ie7LESrjoyjurV6/m7Nmzumvt5+MzWClhi7X+cMlnkjgLUUSfpephr0bhcrlYvXphQHNlPqpGmb5PSjLruHTlG5tEWkOKaUVhM6hPYLKfJwymRQ7pk5JEdWIaAaQsAYIazZ5VSxlazkk+HyoNMhWbw7mqtc9SFDaTTDn1aegryUoAh0bJijpIyKfDmYKVcNEFfbvdziWX6H+K7cn//me8KftjwveNt/xZz379fja//ACZT76Ip6vFX3cVuILa0SAVbnaKaR242Spy9iDu4jlNPkutX2stq6yiMsxdAzXIQlEkgPbSv+cjawvSX5zQ6MOUrNalw8lsOH+Ye+s71FQ2S0DIgk70UtB2mLuQjVHAhkPDAe714qIr7xiFoiOEX0poIgymSv+6dao7ezUUBkvnCgSFNOgYmIr2IF6NaJBCNkYRK1YNB7ifDy2HuceTcZxCSTd6KUDeHsAjahOYLLkYKTyg8QwIFWqvQItBKqpIoKCDSKCKnC2gmSy4RRUJ1IFeuuLfNvwvXiSQ3OexNlqEJRcljQvB5tTAsqUIBULkZZsmzcZEmaanh8KmipIrjJcya6NFWPJRkujDzYaFA2olDXyrCtnpyc0uOcP4JG1UTK35GClhqV6UVqhQTDV4oC4obOrU0Ec9D6NNsqKKBJqBTtCvAcGt/Hi04JNb83FSOkj/qgh5HZqxNtTFo4f0rwpZ1ZLXgLVh12GA+/kIl1kbWgxzT6n0Uh0Dk+gKY6cEhVTLn+XQkcUFEAyFKMhWRA0YMeowFodOpShQkhWfnAax9fnZrpJ+9NKV0An6NWBVtTY0ONJuL+jHzQZFaVOZjxpr+bNU6V+njvxhS5kRo8XJUWcxoYv0r4qAy66wNjR4QFUokDr6Vi1vSBrwyd2lBDmdKJAAYa+TGH5NHv75CotLv6BfSVY0WGduHRlyK6ET9GvAfp7AUqtw68jNVpGyBLBrIAy2IE+r3+KpsDairTdH3aK+i8diUSmmrQcmtS/g0ZGxoQ5z14Ji6hETFO2hlj+nFlx2KzGNZMFLlaCvT0MfFkqehWTrvvXJ+tFLV0LDQf/2229n27ZtSyZlnY94PM673/1ubr75Zj7wgQ9QKBQolUqsXbuWnTt3snPnTo4d03j4icZwB1XxKg0Wj5SkoPMXnLUFcWlAgyxW5Gn1WzzOitJm6w9Un5Sk6NTXt2lrEIcGrA2VAqmnbx0+xbdaJCt+OYWo0cyDWkhbAtg1oEFKZYVNPUQCVdjKvm01WVFFAvWYQV0PGgr6jz76KKIocujQISYmJjhx4kTV+x5++GHuvvtuDhw4wMDAAD/84Q85evQot956K6Ojo4yOjrJx40ZN/gF6wauh1oZPSiLqHJgKjiBuDVgbKgVSz8CkZmP5FktnlQHuOvLeQWHEaMHaMIKbrbKNsi0eeMoVSgRJIess/Zu1BXAWYxp8UBRJFnB4Q61/Vg2og29afaAmkim8Og1wrwcNBf3R0dHKqMObbrqppjzwRz/60YoO/OzsLH19fRw+fJj9+/ezfft2brvtNkql6s2Qffv2MTIywsjIiO4HsJaDeiBFPfzTLIxaPArFVAPWRple6tKxkaty6lsd5p5MZ/EL2crEKL2gGWsjFyWPHcGuh9yaAq2EweKxKDZB0pUCCdrNnrXkYqQEL1iqjT3SBlrJgidVsoQJCpuwQtC/4447KuWYnTt38qUvfamiMxMIBJienl72w3/84x8TjUa5/vrr2bp1K08//TQHDx4kFArx+OOPV33P3r17GRsbY2xsjN5e/bLNlRDyeTRhbSQScRyCqLtutuRWWRvplj5HyEVJ6sjNBggGwwpro8VmY7xCL9XXt8ow99ZZG9aywqae3Gx/RWmzNd8my9mszatzsuIMaUIxtRViugxwPx++cumo1WQlFdOfxbUcll3ZX/nKVxb9/1133UU2mwUglUohSVLN90YiET7xiU/wne98B4BNmzbhdCo89fXr19csDbULAi4bZ/BhabHJlIzO0gfYdFKBVCG4F4TBrM7mudW2fJyUxY+ey0ehmPpbppimDaDpAQvb8FwMvM2XZuzFOBmLvg39sN9LQna3nKyo0r92nX0rucI4KEIxA47mT6c6igmyOlJ3AYLBLoqyteXzMDkdZ1DXg4bKO1u2bKmUdI4cOcLw8HDV+wqFArt37+b+++9n3bp1AOzZs4cjR44giiL79+/nuuuua81ynaFqbbQ6HzVT4Wbru5VbEAZrrd7oLMV1pUACOG1W4ho8UFWFTb2DvqBSTFusk7t0lP5V4XfZymc2WvNthcWls/TvAsW0tUDqLsXJ60yBXDgPo5FvdWQaLYeGgv4tt9zCQw89xN133803v/lN3vve93L8+HHuvffeRfd99atf5Wc/+xmf//zn2blzJ4888gj33Xcfe/bsYfPmzdxwww3s2rVL03+IHshY/ThbpEHmkqr0r76Lx1FpMrUYmAygl0KZtdGib1WFTb2kf1WoWv3JFlVMPToqbKqwWARSGlBMK+qlOguCaZWseKUkRZ0Zcsp5mNaTFVVh02eCrDI0KLgWCAQYHR3lwIED3HPPPQSDQYLB4BL65p133smdd9655P1Hjx5tzVqDkbcHcRenWvqMYlL5gvWS/lWhPlRapZh6xSQxx9DKN7aIjC1AT6u+rdBLjXmgZlp8oPqkJEmdWVygCIP1tvhAVYeM6yVkp0ItH6Vis02XFFWRwDmdWVygnIfxtUgxlQzybS00zNMPh8Ps3r2bgYHWJzS1OwqOMJ4WWRuqZotf58Ck6pi0IgymLJ4kogGLp2AP4RZb0zWSKr7Vd/G4A4pvWzlBXBQlRWHTAN/m7KGWZ8+q1F23zqUzlwbD3FO5AkHSuipsqsjagjhbPQ+TjSIiYNVgElsz6JzIXQaiM4S/RdaGehxez5OCcP44t+aDvrJ4UpVpUXqi6NRAxTQTQUTApjN7x9fVOsU0Go/jEfKV/oCeKDiCLVNMLdlIeYC7WyOrqkPdARdbeKDGI3PKAPcWmuz1Im8PtqxiaslFSQgB0GEGdV1/35S/epFALgc/uYXGjSU7ryweh37cbIBQmbXRiuZKPDKH1aDFI7m6FlgbTcKoxaMFayMZUWrWVp/+vhWdYbxyGlqY/GbLR0nqzDSChRO0rTxQk1GFOm43YN5shWLaAhyFKCkDfFsLnaC/DCzl2bO5FlgbRi2egEuZPWvJNR/0jVw8grf12bNGLZ4Ka6MFGqQ6ytKhc9MZAHcXFmTIxpr+CGchRtqqf/8hHPCRbJFimik3gZ0B/WvksqsLJwUoNJ+suIoxsraQdkY1iE7QXwYqzTLVQgPPqbPCpgpBEEgJvpZmzy4sHv0Dk3oasZW5vsri0T8wOW1WEvhaUjHNlXWGXAYEJqF8oKqVZMVTipEzQAUy4LIRx4ulhTMb+bJvPUH9582qhyxbSVZ8Ypy8I6SRRY2jE/SXgTrOLdMCncxTipHVUanwfGSsQRwtsDYWFk+/RhbVhhbCYMriMUa/JGUJ4Cg0X+ZTlRl9Xfr71l72bSsUU5+UoKjTvNnzsXAeJtb0Z5RSSj/A162/b1VZ8HSTvpVlGb+UoKSzLMty6AT9ZVARBku08FQ3aPGAMnu2FdaGkYvHGWxtVJ7RiydjC+IoNu9bqexbvwFBv5KsNEnfLYkSQTmB6DJGGyZtDeBogRFTYXHpqLCpokIxbdK32UKJMElktzmncaET9JeFr6u1JpMoyQTlpGGLp+AI4WuBtWHk4vG2+EDNFkqEDFw8BUdrrA21Zu00oJHrDrYmDBZPZZQh4x5jfJuzBXG3EPSFbEQRsnPoN9pRRasU02g0gl0QKzsGM9AJ+ssgEAxTlK1NHxFXFk/GsMUjOkMtsTaMXDzqg6XZ2mgsFsVh4OIpOsKKimmTsOYiJPDpKmSnwhdqLVlJRI1jGoGSrLRCMbWpLC4DhoyrKqbNUkxTZbKEzSDfVkMn6C+DkMdJDC802WSKR5Qv2KjFgzuMBblpiqmRiycU8JKSXU2zNpIR5TSvUYtHdoVaYm3YDWJxAQRDXZRkS9PJSrocmBwGsLgARFcIn5xqOllxFKKGMI3gfMn15nybiRrHNKqFTtBfBg6bhQT+pse5LSweY7JR9eBPs6wNRyFqCNMIwO+0tTTMfWHxGPRALZ/ZUPsejcIophFAyOskhg+afKCqxAUjmEZAhWIqN0kxNYppBBDy+0nLTuQmh7nnEopv3TqfIl8OnaC/AlLWALYmR+UtLB79a+SwMHs22eQ4NyOZRipro1mK6cLiMca3qjBYs/RdT8k4mp7DZlGEwZr0baGcNHjD+jedYUFpM9dkycQnJigYxOJSz8M0ewZCLQv5DfJtNXSC/gpoZfZsodxIM2rxVETXmgxMXgMXD0DGGmh69mwxqTadjfGteqiqWRVTv5Sg6DRuUlLa2vzs2YpelAFMI1gYJtJMsqKMzDSOaaQkK82rmKolNyOou7XQCforQBnn1lxgKqWNo+nBwuGUZjImSZIJGLh4QKWYNudbqexboxaPWoNtpnSWK4plppFxvs1Yg7ianT1bDkxG6b07yr5t5jxMMpMnRLoimWIEFIpprLk3Z+cpYcFqgDhcLXSC/gooOUPNszYMXjy+CrOg8XqjGYunJYqpwYtHlW8uNEExjcXjuIWCYSwugLyj+dmzQjZCGjfYnBpbVR3qMPdCExTTWHTGMLE1FTl78xRTW9Y4skQtdIL+CmiFtaEsHpdhiycQ6lZYG000mdTFYzWQPyw6m2dtKIvHb9jiqcyeTTcemBIRlaZnnG9LjmDTD1QjmUawoCtfbKJJnoyoelHG+bYViqm9ECVtotgaNBH0b7/9drZt27ZkcMr5KJVKrF27tjJQ/dixYwB89rOfZevWrXz84x9v3mKjUc7OCk1QtJTFYwyrABaEweRM4/VGdfHYDKLpAeApszZyjWdNyuIxzrfhoMLakJrwbUZlcRlI05PdXbgoQDHb8HudhSgZgyiQAMFQD6IsVCZKNYKswWQJAMkZxienYZkZ4bXgLsbIGESWqIWGgv6jjz6KKIocOnSIiYmJmsPNjx49yq233sro6Cijo6Ns3LiRsbExDh48yHPPPcfq1at54oknNPkH6I2FJlPj9UajF4/daiEhNEcxNWPxqMPimxFdM3rxeB3Wpoe558pH9o1iGgFYymW6Zga/eMU4OQMFwcJlimkzZzbySZVpZJxv8YSxIiFlG09WfGLcULJENTQU9EdHR9m9ezcAN910U2VI+oU4fPgw+/fvZ/v27dx2222USiWeeeYZPvjBDyIIArt27eLZZ5+t+t59+/YxMjLCyMgIs7OtjafTAq5yvVHNhBuBR0wYunhAaTI1wyxQg4ORi0dlxCSa8K3RTCNBEEhZAk09UAuqplHIOMaGKo+diDT+QDVSLwrAVk5WLE0cKiypLK4u4yb5qQcCU7HGfrfqZDozxdZghaB/xx13VEo0O3fu5Etf+hJDQ8r81EAgwPR09X/01q1befrppzl48CChUIjHH3+cdDpd13v37t3L2NgYY2Nj9Paad4BBhTqGsBnxKr8UN3TxgKJj0gzFVKwIghm3eNzlckejNEhZVphGRi+erK05imlFbM0AITsVKn230V1UUZQIykkkA1lcoNB37U0oxKqHpDwGHnZSD1vGG3ygpvOK2BoGsriqYVkhkK985SuL/v+uu+4im1VqhKlUCqlGTWvTpk04nUrzcv369Zw4cQKfz1fXe9sN6rHrRsWr1MUza/DiKTlCeFLVy27LQeUPG7l41AZeozRIdfGcNXjxFOxBenKvNP7GTAQJAbvXOHtVJlejNMhYIkWvgWJrKnK2IF3FxhMrS3aeHA5cDq8OVlWHqr7bqLxyLDrHakFCMJBpVA0NlXe2bNlSKekcOXKE4eHhqvft2bOHI0eOIIoi+/fv57rrrqv7ve2GULeS+TbaZIolUviFbOW0oVGQ3GH8cqrh96mLRzBw8YTKmW+jw9xj0TlsgmTIvNnzUXKG8TZB37XmIiTxgcWqg1XVEehSh7k35ttEVNWLMta3RWcIj9i4b225KEnBWDaML6yeh2nMtxWmkcG+vRANSf7dcsst7Nixg4mJCX7wgx9w+PBhjh8/zte//vVFbJ777ruPD3/4w8iyzPvf/3527dqFJEn88R//MXfddRc//OEP+eEPf6j5P0YPBHxehbXRoHhVPDJNL2AxWk3P3YWbPMV8Bruz/rm86uJx6WjahQh1KayNRpU2E5XFY6xvZXeYQCSJLIkIDQRwez5KyhrAuJY+hHqUZKVRpc1URNWLMra0KrnC+BON0yCdZbE1I60NdqnJSmO7/wUWl4FN5ypoKOgHAgFGR0c5cOAA99xzD8FgkGAwuIS+ee2113L06NFF1ywWC0888QTf//73ueuuu7jkkktat94ACIKgNJkabOCpKpBGq+mpGVpsbpreofp97ChESNuMXTx2m42I4IMGaZDpecW3LgPZMKBMTbIKMvF4hGC4fk+5ilHDZ6J6PV4ysrNhRowamDwG+1Zwd+EhTz6XwemqP1lxl2LkXCH9DKsCNVmRGnygZsqT6czU3YEmePrhcJjdu3czMNB4w8/tdvOhD32ISy+9tOH3mom0Ndiwjkk2qgQmb9egDhbVhrPSZGqMWeAtRck6jG8wpSyNs41yccW3PoN9qx4Ais9NNfQ+fylKzmnslr6SrDRIMS3Eld9NoGeVHmbVRCVZmW/sdxsQYxRcxvrWZrOREHwNS66XyiKBwT5jfXshOidy60DeFsDZoNbGwuIZ0sGi2lAlHxqdPRsSYxRdxjeYsk2wNiqLp9dY37r8KlWvft+KkkxIjlFyG+/bjNXfsG/FlPJvM/p3qzJiGqGY5ooi3cSRPMaz/NIWf8NzfeWUEhPcIWOTlQvRCfp1oOAM4W1Qx0RKKl+w0dmoytpohBGTzhXpJo5owuIpOIK4GxRdk8uByRU0jl4KC8ymTAMU02gqQ5gUeI33bc4exNkgfVdIz1DCisVjLB22GUbM3HwEj5BH8BlfI89YAzgbfKBaM3Ok8IDdyM7ZUnSCfh0ouXsISnFkWa77PZb0LAVsWNxGtu8g2KdkaKUGgv58ZA6nUMTiMyHou3oISrGG3mPNzJLECzaHPkbVgFryKMTrD0zR2QlF08hvfGDKO3vwi7GG3mPPzhETgoYLgvm6Fd/m4vWXd+Jz5wCwB4yvkWcd3XhLjZUlHbk5EtaQPgY1gE7QrwOyp4+gkCadSdf9HntujpglbPziCfUjygKk6l88ibkJAOwGZ84AoqePLjlOsVSq+z3O/DwJq/GnGtVykpys37fp+UkAnCHjfVt09xKWog0lK65ChJTN+N5OoHc1AGKi/n5JJqL41mWSb0NSY0HfU4yQNsG3F6IT9OuAJaD8qGIz5+p+j7swT8pmfGASrDaiQhBrpoHyTnnxeMIm1Bp9/dgEiVgDzVFPcZ603fjFY3f5SOLGkqk/6GeiZd92mdC88/XhE3Ikk7H631KMmNLQ9wa7KchWhFQDNf1YuaFvcNMZQPT0EpYTFAqFut/jL0XJG9zQr4ZO0K8D9nImkZo7W/d7fKUoWYc5X3Dc2oUrV3/Qz8eUwOTtNj7o24PK1jw+W79vA6J5iycmhHFk6/dtocw0CpjgW4tf8W1suj7fyrJMUIpSMKGhL1isRIUQtgYeqKWE6lvjg77gH8AiyERn60sERUkmbFJD/0J0gn4d8JaztGw5a1sJyuKJUTJh8QCk7d14i/VziMWyUmHQYMYGgCtc9m1koq77i6JEWI5TMqHpDJC0d+Mu1O9bKaX41m9CNuoss0TSdfo2nS/RRQLJhKYzQMLWhSvfAPe9PNvAjPKOWgpNztUX9COJNGEhBSY0nS9EJ+jXAX85GBbj9ZUgkrmCqYsn5+wmUGqAQ5yeQUIw/BQmLDxQ1d3GSojGkwSFjCmMDVAaeP4GHqiW9Kwib+E0fnCGu+zbXLS+oB+JzOIUSlhM8m2jyYo1M0scP1jtOlpVHe5yKTRT5wM1Pq/cZ/WbezALOkG/LoR6BpFkATlZX9CPzE1jF0RTGBsAJU8fYTmGXOdEKltmjrgQAGtDB7Q1QahfaeBJdTZHo+Wms80k3xbcvYTk+ht49twccUvIlPF4auO5WCcjJqGyYYLmBKa8s4egWH+y4szPkzSJDeMrJ4KFWJ2J4Jza0O8E/YsCTqeLqOCvuzmaKH/BDhPYMAD4+nAIIul4fVmTsnjM0fj2+0OkZSfU2cBLmciGAZA8ffjJUszVJ2rnNokNA4pYYEm21M3kUuUt3GY09IGSp5ewHEcW62NyeYoR0ib1zULlB6pUZyKYrTT0zT2YBZ2gXzdiljD2Oht46pbPjFojgNWv/N1Enc1Rb3GerN2coC8IAlGhft/myovHaHkLFYJfbTzXV8v1lSLkTGDDANjtdiJCEGumvgdqvly+9JsVmHz9WAW57uEkATFKwWmOb71eHwnZgyVdn2+L5aZz0ISm84XoBP06kbJ14amzgafW/v095iweZzlTq7fJFJBi5E1qOoPSwHPm6lMsrDA2TGiMwsLurZ6gL8syISlG0W0eTS9uCePI1udbMaEEW6PlLVSozdHYzMrJitLQj1Fym9M3EwSBqCWMrc7dv1QmS/hMYHFdiE7QrxM5Zw/+Up1BX9WGMYENAxAoL9p6mky5okiXHEPymBf0M476G3hiUvGtWZm+yglPz68c9OOZPF0kwGseYyPt6MZdqFMCODWDiIDdhIY+gLv8nSbreKDOxeIEhCyCCafIVSRtXTjz9flWSM+UG/p+na1aGZ2gXydETx9hKYZcz8Sv1BQFbJXB30ajq38NAIU6GDHTs7N4hTyWgHkZSMndS0iqr4FnSU+TwmPosJfzEe5TfJurg747M3UOmyBhC5rn27yrp24mlzUzQ1wIGTrs5XwEy6dy60lW5qdeA8AZNq9cknP24CvW51t7doaYpcuUhv6F6AT9OmHx9+MUiiRiK3/JzswUEUsPWMxxbzDYRU62I9XRwItOnQbA0bVGb7NqQvb1ESRNLptZ8V53dpqozbzsrrtvFZIsVEohyyE+o/jW1W2ebyVPH2E5jiSuzOTy5qeJ2c3blfQMKEG/WIcUQ6rsW3fPWl1tWg4ljyJzUQ/8hRkSTvOZO9AJ+nXDXj7oEpk+s+K9vvwMSYd5gUmwWJR6Yx1Npsyc8u/x9Zq3eGzlWq6avS0Hf2GGtNO8wGSzO4gKASzplYN+ruzbQP86vc2qCWugH7sgMj+38s4kVJwl6zLPtx5fiDQuqIMRk5tXfiuh/mGdraoNwdePT8iSTMSWvU+WZcKlOXLuizTo33777Wzbtm3JtKzz8eUvf5mdO3eyc+dONm/ezB133EGpVGLt2rWV68eOHWvJcKPhKWdryXKGsRxCbfAFx2y9ePIrB6Z8RGmahQeGdbaoNlzlXUZiBd9KkkyXNE/eYxIVtoyotQdXduXAVIgqtWkzfWsPK76NTy3v23xJpEeep+g1t9E4b+nBWYcUgxhXSkDBfhOTlbDSO4tMji97XzJXpI8Iks/8Ji40GPQfffRRRFHk0KFDTExMcOLEiar33XnnnYyOjjI6OsqOHTvYu3cvR48e5dZbb61c37hxoyb/AKMQ6FdGD+bnl8/007ki/cwjmvwFp10DhIorZ/pyXAlM3u7VeptUE/5ytpaZWz4wRZJp+ogh+831bdLZT6Cwsm8tyQlKWLGbeArT26vsMlIrPFBn5yLKSeeguZTCuL0PX37lB6o1NUEaN4LLWOny8+HqVny7UiI4Nz2hnHQOmkPsuBANBf3R0VF2794NwE033cTBgweXvf/cuXNMT0+zZcsWDh8+zP79+9m+fTu33XYbpRpSuvv27WNkZISRkRFmZ+sXttIb3avWIckCUmz5EsTM7CQuoYjV5C+46BukV5pb8VSuLT1FTAiYOtghPKiMzxSjy/t2fuo1LIKMLWTeAwog7xmkR1o56DsyU0QsXab1dgDCg0qyUogsn6xEp8cBcITN9W3GPUhXaWXfurLTRK3mipcFBxTf5lZIVmJl37q6zPWtimV/jXfccUelHLNz506+9KUvMTSkBLNAIMD09PLbsAcffJA777wTgK1bt/L0009z8OBBQqEQjz/+eNX37N27l7GxMcbGxujtNa8ufiFcLjfzQghranlmQazSGDX3C5YDq3EIYkUrvxbcuSliJjZGAQLBMAnZg5BYnqqXmFabd+Y1RgGkwGr8ZMmllm/iefMzJExsjAJ09Q2Rl20QX577nppRHgpeExujACXfKrrkOGIxv+x9/sIMKRN7OwA9q4bLieDyvk3PKcmMv8+83s75WFZs5Stf+cqi/7/rrrvIZrMApFIppGXoi5Ik8dRTT/GFL3wBgE2bNuF0OgFYv359zdJQO2Pe2os7s/zWMzPbHl+wPaws3ujUKYJ9tYNksDhH2uQ6riAIzFl7caSXbzZmI4pvgyb71lLeaUQmTrHqytonmUOlWZK+q40yqyqsViuTQjf2FXybj5rf2wEQQquxnJWZmxqnZ81VVe+RZZkucY4ZzxUGW7cYLpebWSGINbV8slJSfTs4bIBVK6OhfeeWLVsqJZ0jR44wPDxc895nn32Wt771rZX/37NnD0eOHEEURfbv3891113XnMUmIunsJ1BcfndTaJPF4+1Tgv5ytVxRkumW5ih6zW2MglLL9a/QeBZj5cZouWRhFtzdim8T5W17NeQKJfrkiOm9HYCovQ/PCo1ntbfj6zV3F+Us+zY+NV7znng6Sy8xJL/5kgbz1j5cKySCJCYoYcFl8kB0FQ3JKt5yyy3s2LGDiYkJfvCDH3D48GGOHz/O17/+9SVsnh/96Ee8/e1vr/z/fffdx4c//GFkWeb9738/u3bt0uZfYCDy7gF6Ms+BLNc+ZJE4h4iA28RDIwDBcnO0uEwtdy4Wp19I8lrA/MWTcQ9wSexXy94jJCfI4cBl8NDuCxEo+zY3X/uBOjMzzVohj9AGvk07++lLH1n2Hmtqkjh+gg6PQVZVh6/ceM7Mjte8Z3bqNUKChK0NGqMJRx+DhfFl73Gkp4gKXfSadOjtQjQU9AOBAKOjoxw4cIB77rmHYDBIMBisSt9Uyzoqrr32Wo4ePdqatSZDDAzhns9TSEVw+KuftrWnp4gKYXpMkCk+H719q5QDWsvUGyOTp+kH7CY3RgFKvkFCsQRSPoPFWT3wuDJTRKw9rDL5VGPPqnWIsoAYre3b6PQ4awGniQezVBS8g3SnngRJrHna1p2dJmbrwTwujILwKmUXV1zGt+3S2wGlqd+dHVs2EfTmp4nbe2mXDmXDtIJwOMzu3bsZGDC/JGA01Dr53LlXa97jyU8TN7l5B+CwW5kWerGlatdyVV68x+QtPYAtpPYgxmve4y3MkmwD3/o9bmaFLizJ2rXc1Gz50JvJjVEAIbQGG1JFL78a/MVZ0m1wYrQnFCYq+5dtPKfLY0sDbdAYlQOr8ZAjl6x9Uj9YmiPbJgezoHMityGo2/ro5Kma93QVp8i626N2F3f04c7WDvrZGeXf0TN0mVEm1YSnvIDnJk5WfV2SZHpKU+S95pdLAKK2XpyZ2r7Nz40D0LPafN+qPYjZs9WTlUJJol+aoeg3v1xisQjMWXuwLcOSK0XGAehug9+to7yTm62RCKZyRQblGcQ28K2KTtBvAN1DCp88M1u9lhtP5Vglz1AKmp+BAGTdA4SXOaAlR04hIeDvN3/xdJWbs6mZ6g/U2VicfqJI4WEDraqNtHOAwDKNZ0t0nDx2XCbz3mGBT56cru7bqekpwkIKocvcBrmKlLMf/zIHtKyxcZJ4sXrN0dI/H2oiGJusnqxMnj2lnNvpvtRAq5ZHJ+g3gL7BteRlO1J0vOrrU+dO4hBEbD3t8QWLgTV0y1GK+epCZo7kGeYsPWBzGGzZUvSvvgxRFijVaI7OnDmBRZBx9raHbwv+1fRJszWnPLnTrzFrHTD1YJaKvjVXAlCYqx70515TGujuPvMf/gA572p6xWmlTl4FvsxZ5uztsePrGVJoo9nZ6r6NnHsZAO/A5YbZtBLM/0VeRLBarUxYBnAlxqu+Hj2rLB7fYHt8wZaey7EIMrOnX6r6eih3lqizPbadLreHaaEXR7z64klMKIsnsMpcbnYF3ZfhEErMT1Tf1ofz54i7zc/yAYLhLuYJYo1Vz0ZTU68AEFp9pZFm1YQYvhQfWZI1JJZ7ihOkPO3h257+1aRkN5ZI9d9Bblrxba0zB2agE/QbxLxzDV256jTI3IzyxXe3yRfsGVTsiJ99cclrkiTTL06R9ZnfxFUx41hNIFM90y/MKr5tl8Xj6lcCZPS140teyxdLrJKmKPjNb+KqmLQN4UtV9604pzwMuofaI+g7+pQH+9z4L5e8lsjkGGyjEqrFamHCugp3crzq63LkFCIC/oH22KFCJ+g3jLR/mH5xUqG/XYjoOEWs+HuHDberGnrWXQNAdurlJa9Nz83TI8Qh3B51XICkdx39xXNVt/XW2GkyuHCaNWz+AoTXKCdt0xNLfTsxeQ6fkMPS3T6+jbvX0lOozoixJU4TFYJY3AGDraqO0GrlwZ6s4tvJM6+2VQkVIOJaQ1euum6UI/kac5ZeBJvTYKtqoxP0G4S15zIclIhWady4EqeYtfaDyRx9FQO9fczLAaiy9Zw6pWSo7v72KEUB0HUpPjKko0ubeJ70aWZtg20xeQhg9ZphUrKL0twrS16bHVd86x1ok1IUSsmkW45SSMeXvBZInyHiaI8aOcDqS66iKFspTC+Vapl/Tdm1Bla1x64EoBgcpk+cRqqiFxTKniHWJiVUFZ2g3yD8q5QsZOrU0q1nX26cqKd9MhCLRWDGPoQ7uXRbHz+jHJTrvXSzwVbVhlqOmjj5i0XXZVlmMD9Owt8+Dyi7zcqUdRBnfHzJa+mzyqyIgcs3G2vUMnD1Kw+gyVOLy1FFUWJ16TSpQPs8oDwuF5OWfmxVehC5c8q6ayff2nuvwCrITJ9ZfKI8my+yVnyNbKh9HlDQCfoNo/9SRTModXZxYJqPJVgrT1DoXm+GWTUR917KQH58aclk5kWKWAmvaR97ey5RZiwkziwesDM5M8uQMEupp31sBYh6LqE3t7TxbJ19iQwufH3tkwCE114LQHR88an4s6+doVtIQJ+5wnAXYs41TFdmadB3zL9EjEDblPkAAms3ADB38oVF18+c+hU+IYd14BoTrKqNTtBvEP2r1jArh7DPLM70z716FJsg4Vx1rUmWVUehdwNhEqTmFtccffGXmbStaata49C6q0jKboSpxQ/UyVd+DoB3dXsN3sl2X8OAPEs+ObfoeiB5gknHcFvQNVWsvuI68rIdcXJx0J95VfGtf+0mM8yqiVT4alaL5xBzqUXXw+lXmXZd0jZlPoBVV7wZURYonFvs2/nyQyA83F7iku3zq7xIIAgCZxyXEUoupkHGyxlUz6Xt9QW712wGYOrln1auybLMYOEUUV978LJV2GxWTtkuJRBfzDZKvaZk/v2Xv8kMs2rCPrQZgKlfjVWuiZLM6uJpEoH2KUUBuF1OTlrX4Y0uLu9kzykP2IEr2su3lsFNWASZ6fIDHxRW1DrxNOk2K5eEgkFOC0O45hcngoVJ5f/726gUBZ2g3xRS4asZKpxe1LgRJ49SxErv8AYTLVuKNVdvBSB+8meVa+cmJxliFqmnvbb0ALHgelblTy469CRMHSODi2CbnH9QseqqEQDmX10I+uPjr9IjxBH62mtLDzDvu5KBzIlFpT7bzC+I48djsirshei7UvHtzImFZOXky7/EJ+SwDbTXGgOY9lxJb2ox28g190tmhB7sXnNVYS9EJ+g3AdfqzdgFkTMvLSz2vsjzjDvXt1W5BGCgr4+zDGCbXth6vnbkSQDC699e622mwbbqOjzkmDyvmTsYf4HT7g1tVS4BWLt2mFnCMPFC5drkUcW3vRveYZJVtSEMbCJEkrkJhXEkyzJrUy/wmm9TW5VLAC697GrispfS2YVMf/aXTwGwauNOk6yqDbH/WvrkucqkOlGUuCRzlKlge+38oRP0m8Lgde8EIPaLAwBEYzGuEF8h0Tdiplk1cSbwJi5JPV85W1A8+e8UZStrNu4w2bKl6L32JgBmj/4roOjCXCadJjv4FjPNqgpBEDjp3cy6xFgle5ZPHyKLk1VXtZ+9oWtuBGDy+R8BcOb0KdYyRXH19WaaVRU2m5UT7o0MRZ9buHb2MAl89FzSfoHUf9VOAM6WffvqiV/QL0SR124z0arq6AT9JrBm7SWcYC2e154B4NWfj2IXRLxXtF/mDJBbu5MAaWZ/dRiAnsjPOOW8CmsN3XozcemV13JG7sdxehSA8ReexCLIBNe3X+YMkFr9drrlKLHxFwAYiP2cU+4NCG2gZ3QhLt8wwrQcxnJSyZjPlXcl3dfsNNGq2ogN7mBQmiI1+TKyLLM68QKnfde13Y4P4LLrthOTvYgn/g2AmWOjAPRvvMk8o2qg/bx3EUAQBM523cBw5gjFTJz8Lx4jL9sZfvM7zTatKoa3vgdJFpgY+xfOvXaK9aWXSa56m9lmVYXVInAq+FbWJn6GlM8gHf8+GZys29SeD9ShN78HgNM/+RdOnfglV8jjZFe33w4KwGm38bJvhNXRnyCXClhffpw4PlZf3X6ZPkDfm94NwKkff5cTvxhjLZMU17Xn78DndvKi+80Mzv07SCKukz9kXgjTf1n77UqaCvrT09Ps2LH8D7tYLPK+972Pbdu28bWvfa3mtYsVvjd/CAclXvzO59kw90NeCmzD5Wuvho2KS9et5Yh9E6tOfpvXHv/vWASZVdv3mG1WTTiu+494yfGL73yB62JP8FJoJzaX12yzquKqK6/iF5ar6Hv5n5n51/8HURZY9/b/ZLZZtXHNLQRJcuzbX+C65DOc6NmFxd5+uxKADRvexMvCMKHjDxF98v+lKFu57B23mW1WTRSuej89coRj3/4CmzKHOTXwawhtMiLxfDQc9KPRKB/5yEdIp9PL3velL32JkZERDh06xPe+9z2SyWTVaxcr3nzDLn5m28ymV7+Clyz+m//IbJOWRfqtv0+vPMf1kw/zvP9GBi9vvwxExcg73s8xy9VsevlL2CnR82vt61tBEJh/810MSpO8dfbb/Lzr3fSsaS9K4fnYums3LwmXsemlv0JGYNV72te3VquFsxs/zprSad4afYyf991CsK99BAIvxJZ37eFV1rDx+P+giJ117/tvZptUFQ2LxFitVh555BF+4zd+Y9n7RkdHeeCBBwDYtm0bY2NjVa/deOONi963b98+9u3bB8Ds7Gyj5hkGq9VC/3/5Z5547K8IX7mNLZvas1yi4m27buHJ7F8jzB5ny2/eY7Y5y8Jus+L/3Uf4tx98ie4NN7J5/RazTVoWb3/vh3mikMMWO8nW3Z8y25xl4XI6cPzOt/i3Hz1I73W/xqZL249aej523vJ/8IQkYUue4/rfbm/f+jxuJj78Hf7tyf/FwMhvsKENJntVgyDLNSYVlHHHHXfwq18taErcdNNN3HfffezcuZPR0dGa73vnO9/Jo48+SjAYZN++fQQCAf72b/92ybXf/u3frvkZIyMjjI2N1Xy9gw466KCDpVgudq6Y6X/lK19p6o/6fD6y2SzBYJBUKoXP56t6rYMOOuigA+OgG3tny5YtHDx4EIAjR44wPDxc9VoHHXTQQQfGQRPh9yeffJLjx4/z8Y9/vHLtIx/5CO95z3t49tlnOX78OG9961sZGhpacq2DDjrooAPjsGJNvxVMTExw8OBB3vWudxEMBmteq4VOTb+DDjrooHEsFzt1DfqtohP0O+iggw4ax3Kxs3Mit4MOOujgDYRO0O+ggw46eAOhE/Q76KCDDt5AaOuafk9PT0u0ztnZWXp7e7UzSEdcTLbCxWVvx1b9cDHZezHZCq3ZOz4+ztzcXNXX2jrot4qLqRF8MdkKF5e9HVv1w8Vk78VkK+hnb6e800EHHXTwBkIn6HfQQQcdvIHwug76e/fuNduEunEx2QoXl70dW/XDxWTvxWQr6Gfv67qm30EHHXTQwWK8rjP9DjrooIMOFqMT9Dt43SASiXDgwIGaVLUOOujgdRr0b7/9drZt28bnPvc5s01ZgvPnC7fzHOF4PM673/1ubr75Zj7wgQ9QKBSq+rVdfD05Ocl73/tennvuOW688UZmZ2fb2l5QfgtvetObgOp2tYutpVKJtWvXsnPnTnbu3MmxY8f47Gc/y9atWxcp61a7ZhY++tGP8thjjwHt7dsvf/nLFb9u3ryZO+64Q3d7X3dB/9FHH0UURQ4dOsTExAQnTpww26QKLpwv3M5zhB9++GHuvvtuDhw4wMDAAN/4xjeW+LWdfP3LX/6Sv/qrv+JP/uRPeNe73sWTTz7Z1vYC/OEf/iHZbLaqXe1k69GjR7n11lsZHR1ldHSUfD7PwYMHee6551i9ejVPPPEEY2NjS66ZhWeffZapqSl+/dd/ve19e+edd1b8umPHDq688krd7X3dBf3R0VF2794NKKMd1aEt7QB1vnAgEAAW23r+HOELr5mBj370o9x8882AcjLwn/7pn5b4tZ18vWvXLq6//nqeeeYZnnvuOX70ox+1tb1PPvkkXq+XgYGBqna1k62HDx9m//79bN++ndtuu40nn3ySD37wgwiCwK5du3j22Wd55plnllwzA8Vikf/6X/8rw8PDfPe7321736o4d+4c09PTnD59Wnd7X3dBP51OMzQ0BEAgEGB6etpkixYQCAQWzRCoZmu72f/jH/+YaDTKmjVr2t5WWZZ55JFHsNvtyLLctvYWCgX+7M/+jAceeABo/9/B1q1befrppzl48CChUIhsNtu29v7jP/4j11xzDffccw/PPfccDz74YNvaej4efPBB7rzzTkN+C6+7oK/O4QVIpVJIkmSyRbVRzdZ2sj8SifCJT3yCr33ta21vK4AgCDz44INs27aNw4cPt629DzzwAB/72McIhUJA+/8ONm3axODgIADr169va3t//vOfs3fvXgYGBvhP/+k/8fa3v71tbVUhSRJPPfUUN954oyG+fd0F/YtpDm87zxEuFArs3r2b+++/n3Xr1rW1rQB/8Rd/wT/+4z8CEIvF+NSnPtW29j7xxBM8+OCD7Ny5kxdeeIHHHnusbW0F2LNnD0eOHEEURfbv3086nW5bey+//HJOnjwJwNjYGOPj421rq4pnn322MjrWkHUmv84Qj8flTZs2yb//+78vr1+/Xo7FYmabtATveMc7ZFmW5fHxcfmaa66RP/nJT8ojIyNyqVSqes0M/M3f/I0cCoXkd7zjHfI73vEO+R/+4R+W+LWdfB2JRORdu3bJO3bskO+88045Fou1tb0q3vGOd1S1q51sPXbsmLxx40b52muvlT/96U/LoijK27Ztkz/5yU/KV155pXzy5Mmq18xAIpGQP/ShD8k7duyQr7/+enl8fLytfSvLsvzHf/zH8ne+8x1ZlqvHL63tfd0FfVlWAsAjjzwiT05Omm3Kijh37pz8yCOPLPoiq11rB1Tzazv7+mKy92KyVZZlOZPJyN/61rfkV199ddlr7YCLzbd629uRYeiggw46eAPhdVfT76CDDjrooDY6Qb+DDjro4A2ETtDvoIMOOngDoRP0O+iggw7eQOgE/Q466KCDNxD+f+5uyAnPCv/FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plot_results(predictions_byfull, y_test)\n",
    "plot_results(predictions_bypoint, y_test)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "deep",
   "language": "python",
   "name": "deep"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
